dataviz-skills

name	dataviz-skills
description	14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.

Data Visualization — 14 Skills

Select the skill matching the user's need, then read its SKILL.md.

Skill	Description
algorithm-visualizer-guide	Guide to Algorithm Visualizer for interactive algorithm exploration
bokeh-visualization-guide	Guide to Bokeh for interactive browser-based research visualizations
chart-image-generator	Generate publication-quality chart images from research data
color-accessibility-guide	Colorblind-friendly palettes and accessible visualization design
d3-visualization-guide	Guide to D3.js for building custom interactive data visualizations
echarts-visualization-guide	Guide to Apache ECharts for interactive research data dashboards
geospatial-viz-guide	Create maps, choropleths, and spatial data visualizations for research
interactive-viz-guide	Interactive data visualization with Plotly, ECharts, and D3
metabase-analytics-guide	Guide to Metabase for open-source research data analytics and dashboards
network-visualization-guide	Visualize networks, graphs, citation maps, and relational data
plotly-interactive-guide	Guide to Plotly.py for interactive scientific visualizations in Python
publication-figures-guide	Create journal-quality scientific figures with proper styling and accessibility
python-dataviz-guide	Publication-quality data visualization with matplotlib, seaborn, and plotly
redash-analytics-guide	Guide to Redash for SQL-driven research data dashboards and sharing